Technical details
| Software type |
Box |
| Software version |
11.1 |
System requirements
| Platform |
PC |
| Minimum processor |
Intel Xeon Phi, Xeon, Core |
Math Kernel Library (MKL) for Windows
Intel® Math Kernel Library for Windows is a math library of highly optimized math routines for applications that require maximum performance. Core math functions include BLAS, LAPACK, sparse solvers, fast Fourier transforms, vector math, and more.
<b>Fastest and most used math library for Intel and compatible processors</b>
- Vectorized and threaded for highest performance on all Intel and compatible processors
- De facto standard APIs for simple code integration
- Compatible with all C, C++ and Fortran compilers
- Royalty-free, per developer licensing for low cost deployment.
<b>Performance: Ready to Use</b>
Intel® Math Kernel Library (Intel® MKL) includes a wealth of routines to accelerate application performance and reduce development time. Today’s processors have increasing core counts, wider vector units and more varied architectures. The easiest way to take advantage of all of that processing power is to use a carefully optimized computing math library designed to harness that potential. Even the best compiler can’t compete with the level of performance possible from a hand-optimized library.
Because Intel has done the engineering on these ready-to-use, royalty-free functions, you’ll not only have more time to develop new features for your application, but in the long run you’ll also save development, debug and maintenance time while knowing that the code you write today will run optimally on future generations of Intel processors.
Intel® MKL includes highly vectorized and threaded Linear Algebra, Fast Fourier Transforms (FFT), Vector Math and Statistics functions. Through a single C or Fortran API call, these functions automatically scale across previous, current and future processor architectures by selecting the best code path for each.
